A Theory of AI

A. Jamali, S. K. Roy, and P. Ghamisi (2023) WetMapFormer: A Unified Deep CNN and Vision Transformer for Complex Wetland Mapping. International Journal of Applied Earth Observation and Geoinformation, 120, 103333, 2023-06-01. (more) (download)

A. Jamali, S. K. Roy, J. Li, and P. Ghamisi (2023) TransU-Net++: Rethinking Attention Gated TransU-Net for Deforestation Mapping. International Journal of Applied Earth Observation and Geoinformation, 120, 103332, 2023-06-01. (more) (download)

M.-C. Dinu, M. Holzleitner, M. Beck, H. D. Nguyen, A. Huber, H. Eghbal-zadeh, B. A. Moser, S. Pereverzyev, S. Hochreiter, and W. Zellinger (2023) Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. arXiv:2305.01281, 2023-05-02. (more) (download)

M. Lazarou, Y. Avrithis, and T. Stathaki (2023) Adaptive Manifold for Imbalanced Transductive Few-Shot Learning. arXiv:2304.14281, 2023-04-27. (more) (download)

J. Schimunek, P. Seidl, L. Friedrich, D. Kuhn, F. Rippmann, S. Hochreiter, and G. Klambauer (2023) Context-Enriched Molecule Representations Improve Few-Shot Drug Discovery. arXiv:2305.09481, 2023-04-24. (more) (download)

J. Lehner, B. Alkin, A. Fürst, E. Rumetshofer, L. Miklautz, and S. Hochreiter (2023) Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget. arXiv:2304.10520, 2023-04-20. (more) (download)

M. Kopp (2023) The Impact of the AI Revolution on Asset Management. arXiv:2304.10212, 2023-04-20. (more) (download)

S. Chang, M. Kopp, and P. Ghamisi (2023) Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks. arXiv:2304.01101, 2023-04-03. (more) (download)

A. Auer, M. Gauch, D. Klotz, and S. Hochreiter (2023) Conformal Prediction for Time Series with Modern Hopfield Networks. arXiv:2303.12783, 2023-03-22. (more) (download)

B. Schäfl, L. Gruber, J. Brandstetter, and S. Hochreiter (2023) G-Signatures: Global Graph Propagation with Randomized Signatures. arXiv:2302.08811, 2023-02-17. (more) (download)

J. Yang, B. Du, Y. Xu, and L. Zhang (2023) Can Spectral Information Work While Extracting Spatial Distribution?—An Online Spectral Information Compensation Network for HSI Classification. IEEE Transactions on Image Processing, 2023-02-16. (more) (download)

A. Jamali, S. K. Roy, A. Bhattacharya, and P. Ghamisi (2023) Local Window Attention Transformer for Polarimetric SAR Image Classification. IEEE Geoscience and Remote Sensing Letters, 2023-01-23. (more) (download)

H. Zhang, F. Torres, R. Sicre, Y. Avrithis, and S. Ayache (2023) Opti-CAM: Optimizing Saliency Maps for Interpretability. arXiv:2301.07002, 2023-01-17. (more) (download)

Y. Cai, Z. Zhang, P. Ghamisi, Z. Cai, X. Liu, and Y. Ding (2023) Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. ACM Transactions on Intelligent Systems and Technology, 2023-01-09. (more) (download)

Y. Zhang, P. Duan, J. Mao, X. Kang, L. Fang, and P. Ghamisi (2022) Contour Structural Profiles: An Edge-Aware Feature Extractor for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2022-12-14. (more) (download)

L. Wu, L. Fang, J. Yue, B. Zhang, P. Ghamisi, and M. He (2022) Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images. IEEE Transactions on Image Processing, 31, 7419-7434, 2022-11-23. (more) (download)

N. Dräger, Y. Xu, and P. Ghamisi (2022) Backdoor Attacks for Remote Sensing Data with Wavelet Transform. arXiv:2211.08044, 2022-11-15. (more) (download)

I. Svogor, C. Eichenberger, M. Spanring, M. Neun, and M. Kopp (2022) Profiling and Improving the PyTorch Dataloader for High-Latency Storage: A Technical Report. arXiv:2211.04908, 2022-11-09. (more) (download)

S. Chang, M. Kopp, and P. Ghamisi (2022) Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection. IEEE Transactions on Geoscience and Remote Sensing, 60, 2022-11-09. (more) (download)

L. Huang, Y. Chen, X. He, and P. Ghamisi (2022) Supervised Contrastive Learning-Based Classification for Hyperspectral Image. Remote Sensing, 14, 21, 5530, 2022-11-02. (more) (download)

C. H. Song, J. Yoon, S. Choi, and Y. Avrithis (2022) Boosting Vision Transformers for Image Retrieval. arXiv:2210.11909, 2022-10-21. (more) (download)

P. Riccio, B. Psomas, F. Galati, F. Escolano, T. Hofmann, and N. M. Oliver (2022) OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters. arXiv:2207.12319, 2022-09-27. (more) (download)

M. Krenn, L. Buffoni, B. Coutinho, S. Eppel, J. G. Foster, A. Gritsevskiy, H. Lee, Y. Lu, J. P. Moutinho, N. Sanjabi, R. Sonthalia, N. M. Tran, F. Valente, Y. Xie, R. Yu, and M. Kopp (2022) Predicting the Future of AI with AI: High-Quality Link Prediction in an Exponentially Growing Knowledge Network. arXiv:2210.00881, 2022-09-23. (more) (download)

S. Chouhan, B. Rasti, P. Ghamisi, S. Lorenz, M. Fuchs, and R. Gloaguen (2022) Hyperspectral Unmixing Using Convolutional Autoencoder for Metal Detection in Lithium-Ion Battery Recycling Applications. 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2022-09-13. (more) (download)

L. Fang, P. Zhou, X. Liu, P. Ghamisi, and S. Chen (2022) Context Enhancing Representation for Semantic Segmentation in Remote Sensing Images. IEEE Transactions on Neural Networks and Learning Systems, 2022-09-09. (more) (download)

Y. Xu, B. Du, and L. Zhang (2022) Robust Self-Ensembling Network for Hyperspectral Image Classification. IEEE Transactions on Neural Networks and Learning Systems, 2022-08-19. (more) (download)

K. R. Shahi, P. Ghamisi, B. Rasti, R. Gloaguen, and P. Scheunders (2022) MS2A-Net: Multiscale Spectral–Spatial Association Network for Hyperspectral Image Clustering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 6518-6530, 2022-08-11. (more) (download)

Y. Xu, W. Yu, P. Ghamisi, M. Kopp, and S. Hochreiter (2022) Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks. arXiv:2208.04441, 2022-08-08. (more) (download)

M. Seydgar, S. Rahnamayan, P. Ghamisi, and A. A. Bidgoli (2022) Semisupervised Hyperspectral Image Classification Using a Probabilistic Pseudo-Label Generation Framework. IEEE Transactions on Geoscience and Remote Sensing, 60, 2022-08-04. (more) (download)

W. Tong, X. Guan, J. Kang, P. ZH Sun, R. Law, P. Ghamisi, and E. Q. Wu (2022) Normal Assisted Pixel-Visibility Learning With Cost Aggregation for Multiview Stereo. IEEE Transactions on Intelligent Transportation Systems, 2022-08-01. (more) (download)

Y. Xu & P. Ghamisi (2022) Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations. IEEE Transactions on Image Processing, 2022-07-25. (more) (download)

S. Chang, M. Kopp, and P. Ghamisi (2022) A Deep Feature Retrieved Network for Bitemporal Remote Sensing Image Change Detection. CEUR Workshop Proceedings, 3207, 2022-07-25. (more) (download)

Y. Xu, W. Yu, and P. Ghamisi (2022) Task-Guided Denoising Network for Adversarial Defense of Remote Sensing Scene Classification. CEUR Workshop Proceedings, 3207, 2022-07-25. (more) (download)

I. Kakogeorgiou, S. Gidaris, B. Psomas, Y. Avrithis, A. Bursuc, K. Karantzalos, and N. Komodakis (2022) What to Hide from Your Students: Attention-Guided Masked Image Modeling. arXiv:2203.12719v2, 2022-07-22. (more) (download)

B. Rasti, P. Ghamisi, and R. Gloaguen (2022) Unsupervised Deep Hyperspectral Inpainting Using a New Mixing Model. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 1221-1224, 2022-07-17. (more) (download)

K. R. Shahi, P. Ghamisi, B. Rasti, P. Scheunders, and R. Gloaguen (2022) Hyperspectral Clustering Using Atrous Spatial-Spectral Convolutional Network. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 199-202, 2022-07-17. (more) (download)

S. Venkataramanan, E. Kijak, L. Amsaleg, and Y. Avrithis (2022) Teach Me How to Interpolate a Myriad of Embeddings. arXiv:2206.14868, 2022-06-29. (more) (download)

S. Venkataramanan, E. Kijak, L. Amsaleg, and Y. Avrithis (2022) AlignMixup: Improving Representations by Interpolating Aligned Features. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 19174-19183, 2022-06-24. (more) (download)

L. Zhang, Y. Qian, J. Han, P. Duan, and P. Ghamisi (2022) Mixed Noise Removal for Hyperspectral Image with l0-l1-2SSTV Regularization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-18, 2022-06-23. (more) (download)

M. Gauch, M. Beck, T. Adler, D. Kotsur, S. Fiel, H. Eghbal-zadeh, J. Brandstetter, J. Kofler, M. Holzleitner, W. Zellinger, D. Klotz, S. Hochreiter, and S. Lehner (2022) Few-Shot Learning by Dimensionality Reduction in Gradient Space. arXiv:2206.03483, 2022-06-07. (more) (download)

B. Schäfl, L. Gruber, A. Bitto-Nemling, and S. Hochreiter (2022) Hopular: Modern Hopfield Networks for Tabular Data. arXiv:2206.00664, 2022-06-01. (more) (download)

Y. Cai, Z. Zhang, P. Ghamisi, Y. Ding, X. Liu, Z. Cai, and R. Gloaguen (2022) Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, 2022-06-01. (more) (download)

S. Das, S. Pratiher, C. Kyal, and P. Ghamisi (2022) Sparsity Regularized Deep Subspace Clustering for Multi-criterion-based Hyperspectral Band Selection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022-05-03. (more) (download)

S. Venkataramanan, B. Psomas, E. Kijak, L. Amsaleg, K. Karantzalos, and Y. Avrithis (2022) It Takes Two to Tango: Mixup for Deep Metric Learning. ICLR 2022 Conference Proceedings, 2022-04-25. (more) (download)

D. Coquelin, B. Rasti, M. Götz, P. Ghamisi, R. Gloaguen, and A. Streit (2022) HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising Package. arXiv:2204.06979, 2022-04-14. (more) (download)

D. Klotz, F. Kratzert, M. Gauch, A. K. Sampson, J. Brandstetter, G. Klambauer, S. Hochreiter, and G. Nearing (2022) Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling. Hydrology and Earth System Sciences, 26, 6, 1673-1693, 2022-03-31. (more) (download)

S. Hochreiter (2022) Toward a broad AI. Communications of the ACM, 65, 4, 56-57, 2022-03-19. (more) (download)

S. Chang & P. Ghamisi (2022) Nonnegative-Constrained Joint Collaborative Representation with Union Dictionary for Hyperspectral Anomaly Detection. arXiv:2203.10030, 2022-03-18. (more) (download)

Y. Xu & P. Ghamisi (2022) Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark. IEEE Transactions on Geoscience and Remote Sensing, 60, 2022-03-02. (more) (download)

W. Song, Z. Gao, R. Dian, P. Ghamisi, Y. Zhang, and J. A. Benediktsson (2022) Asymmetric Hash Code Learning for Remote Sensing Image Retrieval. IEEE Transactions on Geoscience and Remote Sensing, 60, 5617514, 1, 2022-01-14. (more) (download)

Z. Zhang, Y. Cai, W. Gong, P. Ghamisi, X. Liu, and R. Gloaguen (2021) Hypergraph Convolutional Subspace Clustering with Multihop Aggregation for Hyperspectral Image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 676-686, 2021-12-21. (more) (download)

A. Fürst, E. Rumetshofer, V. Tran, H. Ramsauer, F. Tang, J. Lehner, D. Kreil, M. Kopp, G. Klambauer, A. Bitto-Nemling, and S. Hochreiter (2021) CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. arXiv:2110.11316, 2021-10-21. (more) (download)

M. Franke, H. Martin, S. Koch, and K. Kurzhals (2021) Visual Analysis of Spatio-Temporal Phenomena with 1D Projections. Eurographics Conference on Visualization (EuroVis), 40, 3, 2021-06-17. (more) (download)

F. Tang & M. Kopp (2021) A Remark on a Paper of Krotov and Hopfield. arXiv:2105.15034, 2021-06-03. (more) (download)

F. Kratzert, M. Gauch, G. Nearing, S. Hochreiter, and D. Klotz (2021) Rainfall-Runoff Modeling with Long Short-Term Memory Networks (LSTM)—an Overview. Österreichische Wasser-und Abfallwirtschaft, 2021-05-17. (more) (download)

M. Gauch, F. Kratzert, D. Klotz, G. Nearing, J. Lin, and S. Hochreiter (2021) Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network. Hydrology and Earth System Sciences, 25, 4, 2045-2062, 2021-04-19. (more) (download)

P. Seidl, P. Renz, N. Dyubankova, P. Neves, J. Verhoeven, J. K. Wegner, S. Hochreiter, and G. Klambauer (2021) Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction. arXiv:2104.03279, 2021-04-07. (more) (download)

P. M. Winter, S. Eder, J. Weissenböck, C. Schwald, T. Doms, T. Vogt, S. Hochreiter, and B. Nessler (2021) Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications. arXiv:2103.16910, 2021-03-31. (more) (download)

D. Klotz, F. Kratzert, M. Gauch, A. K. Sampson, G. Klambauer, J. Brandstetter, S. Hochreiter, and G. Nearing (2021) Uncertainty Estimation with LSTM Based Rainfall-Runoff Models. EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-13308, 2021-03-03. (more) (download)

P.-J. Hoedt, F. Kratzert, D. Klotz, C. Halmich, M. Holzleitner, G. Nearing, S. Hochreiter, and G. Klambauer (2021) MC-LSTM: Mass-Conserving LSTM. arXiv:2101.05186, 2021-01-13. (more) (download)

T. Adler, J. Brandstetter, M. Widrich, A. Mayr, D. Kreil, M. Kopp, G. Klambauer, and S. Hochreiter (2020) Cross-Domain Few-Shot Learning by Representation Fusion. arXiv:2010.06498, 2020-10-13. (more) (download)

H. Martin, D. Bucher, Y. Hong, R. Buffat, C. Rupprecht, and M. Raubal (2020) Graph-ResNets for short-term traffic forecasts in almost unknown cities. Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123, 153-163, 2020-08-19. (more) (download)

H. Ramsauer, B. Schäfl, J. Lehner, P. Seidl, M. Widrich, L. Gruber, M. Holzleitner, M. Pavlović, G. K. Sandve, V. Greiff, D. Kreil, M. Kopp, G. Klambauer, J. Brandstetter, and S. Hochreiter (2020) Hopfield Networks is All You Need. arXiv:2008.02217, 2020-08-06. (more) (download)

M. Widrich, B. Schäfl, H. Ramsauer, M. Pavlović, L. Gruber, M. Holzleitner, J. Brandstetter, G. K. Sandve, V. Greiff, S. Hochreiter, and G. Klambauer (2020) Modern Hopfield Networks and Attention for Immune Repertoire Classification. arXiv:2007.13505, 2020-07-16. (more) (download)

M. Hofmarcher, T. Unterthiner, J. Arjona-Medina, G. Klambauer, S. Hochreiter, and B. Nessler (2019) Visual scene understanding for autonomous driving using semantic segmentation. in Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, Springer, 285, 2019-09-10. (more) (download)

L. Arras, J. Arjona-Medina, M. Widrich, G. Montavon, M. Gillhofer, K.-R. Müller, S. Hochreiter, and W. Samek (2019) Explaining and Interpreting LSTMs. in Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, Springer, 211, 2019-09-10; preprint at arXiv:1909.12114. (more) (download)

K. Preuer, G. Klambauer, F. Rippmann, S. Hochreiter, and T. Unterthiner (2019) Interpretable Deep Learning in Drug Discovery. in Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, Springer, 331, 2019-09-10; preprint at arXiv, 1903.02788v2. (more) (download)

F. Kratzert, M. Herrnegger, D. Klotz, S. Hochreiter, and G. Klambauer (2019) NeuralHydrology – Interpreting LSTMs in Hydrology. in Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, Springer, 347, 2019-09-10; preprint at arXiv:1903.07903v2. (more) (download)

D. Klotz, F. Kratzert, M. Herrnegger, S. Hochreiter, and G. Klambauer (2019) Towards the quantification of uncertainty for deep learning based rainfall-runoff models. Geophysical Research Abstracts, Vol. 21, EGU2019-10708-2. EGU General Assembly 2019. (more) (download)